An Examination of the Determinants of the Adoption of Mobile Applications as Learning Tools for Higher Education Students

Abstract

The main purpose of the present study was to examine whether mobile applica-tions could be adopted as feasible tools for learning purposes at higher education institutions. Furthermore the study’s intention was to conduct an empirical inves-tigation into students’ perceptions towards mobile applications being introduced as learning aids. The researcher developed a conceptual model derived from the technology acceptance model in order to measure the constructs used in the study. Adopting a quantitative approach, the field study was conducted in South Africa at a selected higher education institution. Research data was collected from 380 registered students at the selected higher education institution who were older than 18 years. Using SPSS 23 and AMOS 23 software programs, Structural Equation Modeling (SEM) was performed to analyse the data set. The results re-vealed that perceived usefulness, perceived ease of use, attitudes towards a mo-bile application, intention to use a mobile application were all significant predic-tors for the actual use of mobile applications for learning. The findings of the study illuminate the importance of the determinants of the adoption of mobile ap-plications for learning in higher education.

Adoption of mobile applications for teaching-learning process in rural girls’ schools in India: an empirical study

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An Analysis of the Intention of Consumers to Adopt Branded Mobile Applications in South Africa

“…This follows from the word useful, which can be defined as being capable of using something advantageously [16]. Perceived usefulness of a technology measures a user's satisfaction technology [17], [18]. A consumer's perception of how useful an app could be has a substantial influence on the consumer's attitude towards the app.…”

Measuring the Quality of Clinical Skills Mobile Apps for Student Learning: Systematic Search, Analysis, and Comparison of Two Measurement Scales

“…Mobile app use for teaching and learning has been an area of exploration since the first smartphones became available, and there has been growing use since then [ 12 ]. With this increased use, some studies have aimed to determine the characteristics of mobile apps that best contribute to student learning [ 12 , 13 ]. The app characteristics that users identify as best-promoting self-regulated and deep learning include perceived usefulness, perceived satisfaction, and interactivity [ 13 , 14 ].…”

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